r CCL Papers

| In Press | | In Progress | | 2020 | | 2019 | | 2018 | | 2017 | | 2016 | | 2015 | | 2014 | | 2013 | | 2012 |

 

| 2011 | | 2010 | | 2009 | | 2008 | | 2007 | | 2006 | | 2005 | | 2004 | | 2003 | | 2002 |

 

| 2001 | | 2000 | | 1999 | | 1998 | | 1997 and earlier |




In Press


In Progress



2020


  • Abrahamson, D., Zolkower, B., & Stone, E. (2020). Reinventing RME at Berkeley: Emergence and development of a course for pre-service teachers. In M. van den Heuvel-Panhuizen, P. Drijvers, M. Doorman, & M. van Zanten (Eds.), Reflections from abroad on the Netherlands didactic tradition in mathematics education (255–277). Berlin: Springer International.


  • Aslan, U., LaGrassa, N., Horn, M., & Wilensky, U. (2020). Putting the Taxonomy into Practice: Investigating Students’ Learning of Chemistry with Integrated Computational Thinking Activities. Paper to be presented at the American Education Research Association (AERA) Conference. San Francisco, CA.


  • Dabholkar, S., Peel, A, Anton, G., Horn, M. & Wilensky, U. (2020). Analysis of teachers’ involvement in co-design and implementation of CT (Computational Thinking) integrated biology units. Paper to be presented at the American Education Research Association (AERA) Conference, San Francisco, CA, USA.


  • 2019


  • Abrahamson, D., Flood, V. J., Miele, J. A., & Siu, Y.-T. (2019). Enactivism and ethnomethodological conversation analysis as tools for expanding Universal Design for Learning: The case of visually impaired mathematics students. ZDM Mathematics Education, 51(2), 291-303. doi:10.1007/s11858-018-0998-1


  • Abrahamson, D., & Shulman, A. (2019). Constructing movement in mathematics and dance: An interdisciplinary pedagogical dialogue on subjectivity and awareness. Feldenkrais Research Journal, 6, 1-24. Retrieved from


  • Arastoopour Irgens, G., Chandra, S., Dabholkar, S., Horn, M., & Wilensky, U. (2019). Classifying Emergent Student Learning in a High School Computational Chemistry Unit. Paper presented at the American Education Research Association (AERA) Conference. Toronto, CA


  • Arastoopour Irgens, G., Dabholkar, S., Bain, C., Woods, P., Hall, K., Swanson, H., Horn, M., & Wilensky, U. (2019). Modeling and Measuring Students' Computational Thinking Practices in Science. Journal of Science Education and Technology.


  • Anton, G. & Wilensky, U. (2019). One size fits all: Designing for socialization in physical computing. In Proceedings of the 50th ACM technical symposium on computer science education (pp. 825 - 831). ACM


  • Bain, C. & Wilensky U. (2019). Sorting Out Algorithms: Learning about Complexity through Participatory Simulations. Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19), February 27-March 2, 2019, Minneapolis, MN, USA.


  • Dabholkar, S. & Wilensky, U. (2019). Designing ESM-mediated collaborative activity systems for science learning. Poster to be presented at International Conference of Computer Supported Collaborative Learning 2019, Lyon, France.


  • Dabholkar, S., Wilensky, U., & Horn, M. (2019) Supporting a teacher’s integration of Computational Thinking (CT) in a biology class by co-designing an ESM- (Emergent Systems Microworlds) based curricular unit, Poster presented at Inaugural symposium on Computer Science and Learning Science, Evanston, USA


  • Dabholkar, S. (2019) Designing Emergent Systems Microworlds to learn computational thinking in the context of synthetic biology. Poster presented at Learn.Design.Compute with Bio 2019, Philadelphia, USA


  • Dabholkar, S., Swanson, H., & Wilensky, U. (2019). Epistemic considerations for modeling: Understanding the usefulness and limitations of models with Emergent Systems Microworlds. In a Related Paper Set, Using Technology to Promote Students’ Modeling Practice and Complex Systems Thinking. The Annual Meeting of the National Association of Research in Science Teaching (NARST), Baltimore, MD, USA.


  • Guo, Y. & Wilensky, U. (2019). Changing High School Students’ Perceptions of Wealth Inequality in the U.S. through Agent-based Participatory Simulations. Poster presented at the annual meeting of the American Educational Research Association (Special Interest Group: Learning Sciences), Toronto, Canada, April 5-9.


  • Gurkan, C., Rasmussen, L. & Wilensky, U. (2019). Effects of Visual Sensory Range on the Emergence of Cognition in Early Terrestrial Vertebrates: An Agent-Based Modeling Approach. The 2019 Conference on Artificial Life, Newcastle upon Tyne, UK. No. 31, 475-476.


  • Hjorth, A. & Wilensky, U. (2019). Urban Planning-in-Pieces: A Computational Approach to Understanding Conceptual Change and Causal Reasoning about Urban Planning "Constructivist Foundations"


  • Holbert, N., & Wilensky, U. (2019). Designing Educational Video Games to Be Objects-to-Think-With. Journal of the Learning Sciences, 28(1), 32–72. https://doi.org/10.1080/10508406.2018.1487302 .


  • Martin, K., Horn, M., & Wilensky, U. (2019). Emergent Schema Learning in Short Museum Interactions. Paper Accepted to the Journal of Education Informatics, Vilnius, Lithuania.


  • Martin, K., Horn, M., & Wilensky, U. (2019). Constructivist Dialogue Mapping of learning in Museums and Informal Spaces. Paper Accepted to the Journal of Education Informatics, Vilnius, Lithuania.


  • MARTIN, K., HORN, M., & WILENSKY, U. (2019). Prevalence of Direct and Emergent Schema and Change after Play. Informatics in Education, 18(1), 183-212.


  • Martin (2019) Future Visions for the study of Group Learning with Complex Systems Models: The role of multimodal data in group learning analysis. Computer Supported Collaborative Learning, Lyon, France.


  • Martin, K., Horn, M., & Wilensky, U. (2019). Learning Complexity through Open-Ended Agent Based Modeling. Paper Submitted to IDC 2019 Annual International conference, Boise, Idaho.


  • McNulty, M., Smith, J.D., Villamar, J., Burnett-Zeigler, I., Vermeer, W., Benbow, N., Gallo, C., Wilensky, U., Hjorth, A., Mustanski, B., Schneider, C. & Brown, H. (2019). Implementation Research Methodologies for Achieving Scientific Equity and Health Equity. Ethnicity & Disease, 29(1), 83-92

  • Peel, A., Dabholkar, S., Anton, G., Horn, M., & Wilensky, U. (2019) Teachers’ professional growth through co-design and implementation of computational thinking (CT) integrated biology units. Annual Meeting of the Association of Science Teacher Education (ASTE) 2019. San Antonio, TX.

  • Peel, A., Dabholkar, S., Granito, T. (2019) Teaching Experimental Design with Computational Thinking. Poster presented at the National Association of Biology Teachers (NABT). 2019 November 14-17; Chicago, IL.

  • Petrosino, A. J., Sherard, M. K., Harron, J. R., Brady, C. E., Stroup, W. M., & Wilensky, U. J. (April, 2019). Developing preservice teachers’ conceptualization of models and simulations through group-based cloud computing. Poster presented at the American Education Research Association Annual Meeting, Toronto, Canada


  • Shvarts, A., & Abrahamson, D. (2019). Dual-eye-tracking Vygotsky: A microgenetic account of a teaching/learning collaboration in an embodied-interaction technological tutorial for mathematics. Learning, Culture, and Social Interaction, 22, 100316. https://doi.org/10.1016/j.lcsi.2019.05.003


  • Swanson H., Anton G., Bain C., Horn M., Wilensky U. (2019) Introducing and Assessing Computational Thinking in the Secondary Science Classroom. In: Kong SC., Abelson H. (eds) Computational Thinking Education. Springer, Singapore​


  • Swanson, H., & Wilensky, U. (2019, August). Engaging students in theory building in the science classroom. Poster to be presented at the biennial conference of the European Association for Research on Learning and Instruction, Aachen, Germany.


  • Weintrop, D., & Wilensky, U. (2019). Transitioning from introductory block-based and text-based environments to professional programming languages in high school computer science classrooms. Computers & Education, 142.


  • Weintrop, D., Bau, D., & Wilensky, U. (2019). The Cloud is the Limit: Programming on the Web, With the Web. International Journal of Child-Computer Interaction, 20, 1-8.


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    Earlier work described in my thesis (and several previous papers) forms the theoretical backdrop for this project: